MACHINE LEARNING MODEL-BASED HEVC DISTRIBUTED DECODING METHOD, DEVICE AND SYSTEM USING BLOCKCHAIN

WIPO Patent Application WO/2020/251124

A1

Disclosed are a machine learning model-based HEVC distributed decoding method, device and system using a blockchain. A machine learning model-based HEVC distributed decoding method using a blockchain according to an embodiment of the present application can comprise the steps of: receiving a bitstream of an object to be decoded; obtaining, from the received bitstream, image information of the object to be decoded; obtaining machine information of sub-nodes connected to a master node; determining sub-bitstreams to be allocated to the sub-nodes, by means of a previously-trained machine learning model, on the basis of the image information and machine information; and allocating the determined sub-bitstreams to respective sub-nodes by means of a blockchain.

JP2003284074	APPARATUS AND METHOD FOR PERFORMING CHANGEOVER PROCESSING OF DIGITAL BROADCAST SIGNAL
JP2697290	Description: A video signal recording device, a playback device, a recording method, and a processing device.
JPH05130431	HIGH EFFICIENT CODER FOR DIGITAL PICTURE SIGNAL

CHO YONG BEOM (KR)

PCT/KR2019/015963

December 17, 2020

November 20, 2019

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UNIV KONKUK IND COOP CORP (KR)

H04N19/149; G06N3/08; G06N20/00; H04N19/184; H04N19/86

KR101976787B1	2019-05-09
KR20180052651A	2018-05-18
JP2009225378A	2009-10-01

PAN SUJING: "Implementation of Heterogeneous cluster Scheduler for a suitable HEVC Encoder based on Support Vector Machine", vol. 22, 31 August 2018 (2018-08-31), pages 12 - 16
LIU WEI: "Implementation of parallel S/W-H/W for 3D- HEVC decoder", 3D-HEVC S/W-H/W FOR 3D-HEVC DECODER, 31 August 2016 (2016-08-31), pages 11 - 37

PARK, Ki Gap (KR)

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